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Senior Ai Software Engineer Jobs in Seattle, WA (NOW HIRING)

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Senior Software Engineer, AI Resiliency

Redmond, WA · On-site

$137K - $180K/yr

We are now looking for a Senior Software Engineer for AI Resiliency! At NVIDIA, we are pushing the boundaries of what's possible in AI. We are currently seeking a Senior Software Engineer to lead the ...

Senior Software Engineer, AI Resiliency

Redmond, WA · On-site

$137K - $180K/yr

We are now looking for a Senior Software Engineer for AI Resiliency. At NVIDIA, we are pushing the boundaries of what's possible in AI. We are currently seeking a Senior Software Engineer to lead the ...

AI Software Engineer

Seattle, WA · On-site

$150 - $200/hr

AI Software EngineerGlover Labs Seattle, Washington, United StatesAbout this position About Glover ... The Role We're looking for a Senior Software Engineer to help build the core of our platform. You ...

Senior AI Software Architect

Redmond, WA · On-site

$165K - $296K/yr

We are seeking a Senior AI Software Architect to join the AI Systems Architecture (ASA) group ... PhD in Computer Science,Computer Architecture, Electrical Engineering, Machine Learning, High ...

As a Senior AI Native Software Engineer, you direct AI agents to build products and solutions, rather than writing code directly. You leverage AI coding agents to replace manual tasks, build and ship ...

Hybrid role: 3 days/week in office Role Overview As a Senior Applied AI Engineer at MediaAlpha, you ... The ideal candidate is a strong software engineer with hands-on experience building LLM-powered ...

Hybrid role: 3 days/week in office Role Overview As a Senior Applied AI Engineer at MediaAlpha, you ... The ideal candidate is a strong software engineer with hands-on experience building LLM-powered ...

Sr. AI Engineer

Everett, WA

$115K - $158K/yr

Develop AI-powered automation that streamlines software development, business processes ... The Sr. AI Engineer will play a critical role in turning AI from isolated experiments into ...

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Showing results 1-20

Senior Ai Software Engineer information

See Seattle, WA salary details

$85.9K

$163.1K

$218.5K

How much do senior ai software engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for senior ai software engineer in Seattle, WA is $163,070.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,400.00 and $183,800.00 per year, depending on experience, location, and employer.

What is a senior AI software engineer?

Senior AI Software Engineers are experienced professionals who design, develop, and deploy artificial intelligence (AI) systems and applications. They lead complex projects involving machine learning, deep learning, and data analysis, often mentoring junior engineers and collaborating with data scientists. Their responsibilities include creating scalable AI models, optimizing algorithms, and ensuring that AI solutions meet business objectives. They typically possess advanced knowledge of programming languages such as Python and experience with AI frameworks like TensorFlow or PyTorch. Additionally, they stay updated on the latest AI trends and best practices to drive innovation within their organizations.

What does a senior AI software engineer do?

As a Senior AI Software Engineer, you will frequently work cross-functionally with data scientists and product teams to design, develop, and deploy AI solutions. You’ll translate complex models developed by data scientists into scalable, production-ready code, and ensure the solutions meet performance and reliability standards. Regular communication with product managers and stakeholders is essential to align technical deliverables with business objectives, and you may also mentor junior engineers in best practices for AI system integration.

What are the key skills and qualifications needed to thrive as a senior AI software engineer?

To thrive as a Senior AI Software Engineer, you need deep expertise in machine learning, programming languages such as Python or Java, and a strong background in computer science or a related field, often with an advanced degree. Familiarity with frameworks like TensorFlow or PyTorch, experience deploying models to production, and knowledge of cloud platforms are typically required, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, leadership, and effective communication skills distinguish top performers in this role. These skills ensure the ability to design, build, and scale AI solutions that drive innovation and deliver business value.

What is the difference between Senior Ai Software Engineer vs Data Scientist?

AspectSenior Ai Software EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with AI frameworksBachelor's/Master's in CS, Statistics, or related; experience with data analysis
Work EnvironmentDevelops AI models, software, and algorithms; collaborates with engineering teamsAnalyzes data, builds predictive models, interprets data insights
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles require strong technical skills and experience with AI tools, Senior Ai Software Engineers focus on developing and deploying AI software solutions, whereas Data Scientists primarily analyze data to generate insights and build predictive models. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Ai Software Engineer jobs in Seattle, WA?

The most popular types of Ai Software Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Senior Ai Software Engineer jobs?

Cities near Seattle, WA with the most Senior Ai Software Engineer job openings:

Infographic showing various Senior Ai Software Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $163,070 per year, or $78.4 per hour.

$138K/yr

Full-time

Posted 4 days ago


Job description

As a Senior Artificial Intelligence (Al) Software Engineer, you will develop secure, ethical, and mission-aligned AI strategies and architectures across the federal government using engineering best practices.

This position is with the Office of Technology Transformation Services (TTS), Federal Acquisition Service (FAS), General Services Administration (GSA).

We are currently filling multiple vacancies, but additional vacancies may be filled as needed.

Qualifications:

To evaluate your qualifications, your resume must clearly demonstrate how you meet the specialized experience described below. Your resume must not exceed two pages. To ensure your qualifications can be fully evaluated, we recommend including the following information: 

  • Name, address, telephone number, email address;

  • Job Title (if Federal Service, provide series and grade; if not in GS plan, provide GS equivalent grade);

  • Relevant work experience—should include employer name, job title, start and end dates (month/year), the number of hours worked per week and descriptions that explain how you meet the required qualifications in the job announcement.

  • Education, certifications or licensures—If the job announcement requires any education, certifications or licensures, make sure to include the required information and any required documents like transcripts.

Your resume should contain enough information to make a valid determination that you fully meet experience requirements for each grade level you are applying to. If you do not provide enough information for us to determine your qualifications, you may be rated ineligible

If you have volunteered your service through a National Service program (e.g., Peace Corps, Americorps), we encourage you to apply and include this experience on your resume.
The GS-14salary range starts at $138,595 per year.
If you are a new federal employee, your starting salary will likely be set at the Step 1 of the grade for which you are selected.  
To qualify, you must have at least one year of specialized experience equivalent to the GS-13 level or higher in the Federal service. 

Applicants applying for the GS-14 grade level must meet the following requirements: Have IT-related experience demonstrating EACH of the nine competencies AND one year of specialized experience equivalent to the GS-13 level in the Federal service as described below: 

  • Attention to Detail - Is thorough when performing work and conscientious about attending to detail.

  • Customer Service - Works with clients and customers (that is, any individuals who use or receive the services or products that your work unit produces, including the general public, individuals who work in the agency, other agencies, or organizations outside the Government) to assess their needs, provide information or assistance, resolve their problems, or satisfy their expectations; knows about available products and services; is committed to providing quality products and services.

  • Decision Making - Makes sound, well-informed, and objective decisions; perceives the impact and implications of decisions; commits to action, even in uncertain situations, to accomplish organizational goals; causes change.

  • Information Management - Identifies a need for and knows where or how to gather information; organizes and maintains information or information management systems.

  • Interpersonal Skills - Shows understanding, friendliness, courtesy, tact, empathy, concern, and politeness to others; develops and maintains effective relationships with others; may include effectively dealing with individuals who are difficult, hostile, or distressed; relates well to people from varied backgrounds and different situations.

  • Oral Communication - This skill is generally demonstrated by assignments where the applicant persuades others to take a particular course of action or to accept findings, recommendations, changes, or alternative viewpoints.

  • Problem Solving - This skill is generally demonstrated by assignments where the applicant identifies and accommodates technology and resource constraints.

  • Teamwork - Encourages and facilitates cooperation, pride, trust, and group identity; fosters commitment and team spirit; works with others to achieve goals.

  • Technical Competence – Uses knowledge that is acquired through formal training or on-the-job experience to perform one's job; works with, understands, and evaluates technical information related to the job; advises others on technical issues.

To qualify, you must have one (1) year of specialized experience. Specialized experience is defined as:

  • Developing, testing, debugging, and maintaining large-scale, complex digital applications and services for public-facing or enterprise environments, including data engineering, cloud-native architectures, computer hardware/software integration, cybersecurity-by-design, performance requirements, interoperability, and/or secure deployment of emerging technologies. This includes applying modern programming languages, frameworks, and technologies (e.g., Python, Go, JavaScript, TypeScript, Node.js, React, Ruby on Rails, Terraform, Next.js, HTML/CSS, Rust).

  • Applying artificial intelligence and machine learning technologies, including generative AI tools and models to develop production grade AI-enabled systems. 

  • Implementing and applying information security and privacy best practices, performing risk assessments, and ensuring compliance with security policies and standards during digital product development and deployment.

  • Providing technical guidance and consultation on AI, data strategy, and emerging technologies to stakeholders, partner agencies, and technical teams; translating mission and business requirements into scalable, secure, and workable engineering solutions; and resolving complex technical issues involving multiple IT disciplines.

Education:This job does not have an education qualification requirement.Employment Type: OTHER